G Iii Apparel (GIII) Non-Current Assets (2010 - 2026)
G Iii Apparel (GIII) reported Non-Current Assets of $1.19 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.3% from $1.21 billion a year earlier but up 4.5% from the prior quarter.
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Analysis
G Iii Apparel (GIII) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), G Iii Apparel posted Non-Current Assets of $1.14 billion, down 0.5% from FY2025.
- Non-Current Assets has a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $1.15 billion in FY2025 (+12.4%), $1.02 billion in FY2024 (-3.7%), $1.06 billion in FY2023 (-2.7%) and $1.09 billion in FY2022 (-0.2%).
- Five-year quarterly Non-Current Assets spans a low of $1.02 billion in fiscal Q1 2025 and a high of $1.32 billion in fiscal Q2 2023.
- Year over year, Non-Current Assets has now declined in each of the last four quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q2 2023 (growth of 20.6%); the low point was fiscal Q3 2024 (a decline of 20.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.14 billion (Q1 2027), $1.14 billion (Q4 2026) and $1.2 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 4.31 Bn |
| 10 | G Iii Apparel | 1.21 Bn | -303.22 Mn | 250.38 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.19 Bn |
| Apr 30, 2026 | 1.14 Bn |
| Jan 31, 2026 | 1.14 Bn |
| Oct 31, 2025 | 1.20 Bn |
| Jul 31, 2025 | 1.21 Bn |
| Apr 30, 2025 | 1.16 Bn |
| Jan 31, 2025 | 1.15 Bn |
| Oct 31, 2024 | 1.20 Bn |
| Jul 31, 2024 | 1.10 Bn |
| Apr 30, 2024 | 1.02 Bn |
| Jan 31, 2024 | 1.02 Bn |
| Oct 31, 2023 | 1.04 Bn |
| Jul 31, 2023 | 1.06 Bn |
| Apr 30, 2023 | 1.06 Bn |
| Jan 31, 2023 | 1.06 Bn |
| Oct 31, 2022 | 1.31 Bn |
| Jul 31, 2022 | 1.32 Bn |
| Apr 30, 2022 | 1.10 Bn |
| Jan 31, 2022 | 1.09 Bn |
| Oct 31, 2021 | 1.10 Bn |
API Access
G Iii Apparel Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-assets&ticker=GIII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "GIII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=GIII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();